Review & Evidence Synthesis
Reviewing and synthesizing existing clinical and economic evidence into a holistic solution
What is Evidence Sythesis?
Evidence synthesis is the assessment of different studies within the scope of existing knowledge for a specific objective.
How do we make a difference?
We help our clients build the foundation of evidence by identifying and assessing all relevant published and grey literature. We conduct high quality targeted and systematic literature reviews. We conduct direct and indirect comparisons through rigorous statistical techniques to build additional rational cases for our clients. We employ high-quality academic and industry accepted standards for our reviews and evidence syntheses
Everything you may need
- Systematic reviews (clinical, economic)
- Structured and targeted literature reviews
- Method reviews
- Mixed method reviews
Direct and Indirect comparisons
- Network meta analysis
- Simulated treatment comparisons (STC) and Matching adjusted indirect comparison (MAIC)
End-to-end support for Interviews and Surveys
- Payers interviews and surveys
- Key opinion leaders (KoLs) or expert interviews and surveys
Systematic Review and Network-Meta Analysis of Therapies in a Chronic Disease
A pharmaceutical company wanted to understand the treatment landscape in a chronic disease and compare its treatment’s efficacy and safety to other existing therapies.
- Conducted a systematic review of randomized control trials (RCTs) evaluating the efficacy and safety of treatments in the disease area
- Performed the review in accordance with the general principles recommended in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement
- Identified studies and conducted feasibility assessment for network meta-analysis (NMA)
- Conducted an NMA to explore comparative estimates of relative efficacy and safety of the treatment versus other relevant therapies
- Used Bayesian Markov chain Monte Carlo (MCMC) approach on each outcome of interest
- Performed the analysis using WinBUGS and R using the R2Winbugs interface package